Overview

Dataset statistics

Number of variables20
Number of observations385500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory58.8 MiB
Average record size in memory160.0 B

Variable types

Numeric20

Alerts

rms[0] has unique valuesUnique
rms[2] has unique valuesUnique
rms[4] has unique valuesUnique
rms[5] has unique valuesUnique
rms[7] has unique valuesUnique
rms[11] has unique valuesUnique
rms[13] has unique valuesUnique
rms[14] has unique valuesUnique

Reproduction

Analysis started2024-01-12 12:45:04.179283
Analysis finished2024-01-12 12:47:01.130349
Duration1 minute and 56.95 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

rms[0]
Real number (ℝ)

UNIQUE 

Distinct385500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3404624
Minimum0.2758542
Maximum6.0882772
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:47:01.284352image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.2758542
5-th percentile0.82286078
Q11.096611
median1.3162094
Q31.5571555
95-th percentile1.9431971
Maximum6.0882772
Range5.812423
Interquartile range (IQR)0.46054448

Descriptive statistics

Standard deviation0.34216703
Coefficient of variation (CV)0.25526044
Kurtosis0.55770645
Mean1.3404624
Median Absolute Deviation (MAD)0.22947488
Skewness0.44767697
Sum516748.27
Variance0.11707828
MonotonicityNot monotonic
2024-01-12T13:47:01.761349image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.007041751 1
 
< 0.1%
2.254648269 1
 
< 0.1%
1.619478102 1
 
< 0.1%
1.285272497 1
 
< 0.1%
1.990850268 1
 
< 0.1%
1.072506614 1
 
< 0.1%
1.312369633 1
 
< 0.1%
0.8756402294 1
 
< 0.1%
1.111454474 1
 
< 0.1%
1.503017243 1
 
< 0.1%
Other values (385490) 385490
> 99.9%
ValueCountFrequency (%)
0.2758541981 1
< 0.1%
0.2850168822 1
< 0.1%
0.3206726649 1
< 0.1%
0.3271693493 1
< 0.1%
0.3295308364 1
< 0.1%
0.3390598157 1
< 0.1%
0.3390615305 1
< 0.1%
0.3453755548 1
< 0.1%
0.3473195017 1
< 0.1%
0.3475587225 1
< 0.1%
ValueCountFrequency (%)
6.08827722 1
< 0.1%
5.547721164 1
< 0.1%
5.114053714 1
< 0.1%
5.035638766 1
< 0.1%
4.91920252 1
< 0.1%
4.814323386 1
< 0.1%
4.768766026 1
< 0.1%
4.612976966 1
< 0.1%
4.477683126 1
< 0.1%
4.308803455 1
< 0.1%

rms[1]
Real number (ℝ)

Distinct385499
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3356601
Minimum0.3147115
Maximum5.8606258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:47:02.006345image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.3147115
5-th percentile0.81878921
Q11.0926758
median1.3118977
Q31.5525951
95-th percentile1.9347585
Maximum5.8606258
Range5.5459143
Interquartile range (IQR)0.45991925

Descriptive statistics

Standard deviation0.34072918
Coefficient of variation (CV)0.25510172
Kurtosis0.58938045
Mean1.3356601
Median Absolute Deviation (MAD)0.22911796
Skewness0.44698302
Sum514896.95
Variance0.11609638
MonotonicityNot monotonic
2024-01-12T13:47:02.184349image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.169328167 2
 
< 0.1%
1.5639021 1
 
< 0.1%
1.284208478 1
 
< 0.1%
1.026357219 1
 
< 0.1%
1.964471024 1
 
< 0.1%
0.9850057355 1
 
< 0.1%
0.9868609863 1
 
< 0.1%
1.261303057 1
 
< 0.1%
0.5861492999 1
 
< 0.1%
2.300488721 1
 
< 0.1%
Other values (385489) 385489
> 99.9%
ValueCountFrequency (%)
0.3147114992 1
< 0.1%
0.3182394474 1
< 0.1%
0.3200119208 1
< 0.1%
0.3313449944 1
< 0.1%
0.3362450187 1
< 0.1%
0.341345692 1
< 0.1%
0.3484846158 1
< 0.1%
0.3493785362 1
< 0.1%
0.35160784 1
< 0.1%
0.3523950381 1
< 0.1%
ValueCountFrequency (%)
5.860625791 1
< 0.1%
5.609123479 1
< 0.1%
5.444333712 1
< 0.1%
5.333377557 1
< 0.1%
5.274276327 1
< 0.1%
4.873780041 1
< 0.1%
4.826908852 1
< 0.1%
4.639713733 1
< 0.1%
4.536820707 1
< 0.1%
4.382918934 1
< 0.1%

rms[2]
Real number (ℝ)

UNIQUE 

Distinct385500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3566277
Minimum0.25450023
Maximum5.1950231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:47:02.367344image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.25450023
5-th percentile0.83023245
Q11.1093896
median1.333165
Q31.5777393
95-th percentile1.9631291
Maximum5.1950231
Range4.9405229
Interquartile range (IQR)0.4683497

Descriptive statistics

Standard deviation0.3462679
Coefficient of variation (CV)0.25524165
Kurtosis0.39125227
Mean1.3566277
Median Absolute Deviation (MAD)0.23320375
Skewness0.42549044
Sum522979.99
Variance0.11990146
MonotonicityNot monotonic
2024-01-12T13:47:02.545354image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.456864989 1
 
< 0.1%
1.914290479 1
 
< 0.1%
1.092337413 1
 
< 0.1%
1.308422298 1
 
< 0.1%
1.340774334 1
 
< 0.1%
1.390414416 1
 
< 0.1%
1.076434846 1
 
< 0.1%
1.636784081 1
 
< 0.1%
0.8179451867 1
 
< 0.1%
1.053217029 1
 
< 0.1%
Other values (385490) 385490
> 99.9%
ValueCountFrequency (%)
0.2545002292 1
< 0.1%
0.2946413214 1
< 0.1%
0.3485190615 1
< 0.1%
0.3510521062 1
< 0.1%
0.3593454188 1
< 0.1%
0.3599342364 1
< 0.1%
0.3602115741 1
< 0.1%
0.3626820036 1
< 0.1%
0.3654531835 1
< 0.1%
0.3675273805 1
< 0.1%
ValueCountFrequency (%)
5.195023107 1
< 0.1%
4.886637881 1
< 0.1%
4.803247601 1
< 0.1%
4.777913244 1
< 0.1%
4.639697077 1
< 0.1%
4.594832418 1
< 0.1%
4.438121378 1
< 0.1%
4.337634438 1
< 0.1%
4.303626837 1
< 0.1%
4.209195796 1
< 0.1%

rms[3]
Real number (ℝ)

Distinct385498
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3256906
Minimum0.28391407
Maximum5.5505564
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:47:02.713346image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.28391407
5-th percentile0.81225352
Q11.084392
median1.3015152
Q31.5416934
95-th percentile1.9197395
Maximum5.5505564
Range5.2666423
Interquartile range (IQR)0.45730144

Descriptive statistics

Standard deviation0.33835609
Coefficient of variation (CV)0.25523007
Kurtosis0.4379662
Mean1.3256906
Median Absolute Deviation (MAD)0.22766373
Skewness0.4340884
Sum511053.71
Variance0.11448484
MonotonicityNot monotonic
2024-01-12T13:47:02.902376image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.454878934 2
 
< 0.1%
1.445435086 2
 
< 0.1%
1.531228158 1
 
< 0.1%
1.453444733 1
 
< 0.1%
0.7081381119 1
 
< 0.1%
0.9451061799 1
 
< 0.1%
1.337340382 1
 
< 0.1%
1.028406702 1
 
< 0.1%
1.21665139 1
 
< 0.1%
1.87870439 1
 
< 0.1%
Other values (385488) 385488
> 99.9%
ValueCountFrequency (%)
0.2839140674 1
< 0.1%
0.2978318788 1
< 0.1%
0.3042772149 1
< 0.1%
0.3100630966 1
< 0.1%
0.314337983 1
< 0.1%
0.3182819812 1
< 0.1%
0.3244101072 1
< 0.1%
0.3263722937 1
< 0.1%
0.3281416113 1
< 0.1%
0.3314276824 1
< 0.1%
ValueCountFrequency (%)
5.550556353 1
< 0.1%
5.125494881 1
< 0.1%
4.85576616 1
< 0.1%
4.83616478 1
< 0.1%
4.621285432 1
< 0.1%
4.571653835 1
< 0.1%
4.397452441 1
< 0.1%
4.374339071 1
< 0.1%
4.218837331 1
< 0.1%
4.210896419 1
< 0.1%

rms[4]
Real number (ℝ)

UNIQUE 

Distinct385500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3758948
Minimum0.31782641
Maximum6.0381889
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:47:03.063377image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.31782641
5-th percentile0.84257184
Q11.1239851
median1.3501728
Q31.6013131
95-th percentile1.9932775
Maximum6.0381889
Range5.7203625
Interquartile range (IQR)0.47732796

Descriptive statistics

Standard deviation0.35268033
Coefficient of variation (CV)0.25632799
Kurtosis0.48547022
Mean1.3758948
Median Absolute Deviation (MAD)0.23771119
Skewness0.43974414
Sum530407.43
Variance0.12438342
MonotonicityNot monotonic
2024-01-12T13:47:03.219350image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9380417258 1
 
< 0.1%
1.113969165 1
 
< 0.1%
1.228078111 1
 
< 0.1%
1.186353413 1
 
< 0.1%
1.165861944 1
 
< 0.1%
1.134571923 1
 
< 0.1%
1.507827476 1
 
< 0.1%
0.5895961992 1
 
< 0.1%
0.7577275689 1
 
< 0.1%
0.5119305327 1
 
< 0.1%
Other values (385490) 385490
> 99.9%
ValueCountFrequency (%)
0.3178264149 1
< 0.1%
0.3186246125 1
< 0.1%
0.3341709868 1
< 0.1%
0.3352037778 1
< 0.1%
0.3440018291 1
< 0.1%
0.3666824768 1
< 0.1%
0.3693241868 1
< 0.1%
0.3735303967 1
< 0.1%
0.37514582 1
< 0.1%
0.376426023 1
< 0.1%
ValueCountFrequency (%)
6.038188912 1
< 0.1%
5.538071041 1
< 0.1%
5.343040695 1
< 0.1%
5.169566252 1
< 0.1%
4.971241399 1
< 0.1%
4.758075961 1
< 0.1%
4.618326118 1
< 0.1%
4.538777004 1
< 0.1%
4.484659624 1
< 0.1%
4.209553951 1
< 0.1%

rms[5]
Real number (ℝ)

UNIQUE 

Distinct385500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3637315
Minimum0.27068674
Maximum5.6697771
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:47:03.382350image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.27068674
5-th percentile0.82938072
Q11.1120651
median1.3389698
Q31.5881442
95-th percentile1.9834087
Maximum5.6697771
Range5.3990903
Interquartile range (IQR)0.47607911

Descriptive statistics

Standard deviation0.35243875
Coefficient of variation (CV)0.25843705
Kurtosis0.46176765
Mean1.3637315
Median Absolute Deviation (MAD)0.23715379
Skewness0.44068663
Sum525718.5
Variance0.12421307
MonotonicityNot monotonic
2024-01-12T13:47:03.527350image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.412877201 1
 
< 0.1%
1.025774287 1
 
< 0.1%
1.381680692 1
 
< 0.1%
1.233184478 1
 
< 0.1%
1.037192862 1
 
< 0.1%
1.510124974 1
 
< 0.1%
0.900202838 1
 
< 0.1%
1.620824648 1
 
< 0.1%
1.29273163 1
 
< 0.1%
0.9674871029 1
 
< 0.1%
Other values (385490) 385490
> 99.9%
ValueCountFrequency (%)
0.2706867438 1
< 0.1%
0.294354428 1
< 0.1%
0.3355097512 1
< 0.1%
0.3595357764 1
< 0.1%
0.3607931844 1
< 0.1%
0.3616352483 1
< 0.1%
0.3660771654 1
< 0.1%
0.3684391798 1
< 0.1%
0.3703964835 1
< 0.1%
0.3725735878 1
< 0.1%
ValueCountFrequency (%)
5.669777061 1
< 0.1%
5.52557677 1
< 0.1%
5.394941245 1
< 0.1%
5.150317714 1
< 0.1%
4.910367448 1
< 0.1%
4.843243003 1
< 0.1%
4.722864972 1
< 0.1%
4.637080037 1
< 0.1%
4.171324506 1
< 0.1%
4.14364169 1
< 0.1%

rms[6]
Real number (ℝ)

Distinct385499
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3718027
Minimum0.31612721
Maximum5.4635651
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:47:03.670394image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.31612721
5-th percentile0.83749125
Q11.1207464
median1.3475033
Q31.5965522
95-th percentile1.9892498
Maximum5.4635651
Range5.1474379
Interquartile range (IQR)0.47580573

Descriptive statistics

Standard deviation0.35200044
Coefficient of variation (CV)0.25659699
Kurtosis0.38685869
Mean1.3718027
Median Absolute Deviation (MAD)0.23683022
Skewness0.42651948
Sum528829.95
Variance0.12390431
MonotonicityNot monotonic
2024-01-12T13:47:03.837345image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.37587104 2
 
< 0.1%
1.699235715 1
 
< 0.1%
0.9671593747 1
 
< 0.1%
1.016034267 1
 
< 0.1%
1.210339633 1
 
< 0.1%
1.398157437 1
 
< 0.1%
0.7730649698 1
 
< 0.1%
1.266066888 1
 
< 0.1%
1.323793443 1
 
< 0.1%
1.665497149 1
 
< 0.1%
Other values (385489) 385489
> 99.9%
ValueCountFrequency (%)
0.3161272055 1
< 0.1%
0.3329717326 1
< 0.1%
0.3452157115 1
< 0.1%
0.3460045995 1
< 0.1%
0.3474135369 1
< 0.1%
0.3509861141 1
< 0.1%
0.3523480478 1
< 0.1%
0.3565417282 1
< 0.1%
0.3578788683 1
< 0.1%
0.3632073636 1
< 0.1%
ValueCountFrequency (%)
5.463565067 1
< 0.1%
4.990367338 1
< 0.1%
4.979964682 1
< 0.1%
4.858374174 1
< 0.1%
4.835121239 1
< 0.1%
4.610199707 1
< 0.1%
4.596534843 1
< 0.1%
4.527796777 1
< 0.1%
4.374894952 1
< 0.1%
4.327829518 1
< 0.1%

rms[7]
Real number (ℝ)

UNIQUE 

Distinct385500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3469454
Minimum0.23921081
Maximum5.8729167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:47:04.002352image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.23921081
5-th percentile0.81278443
Q11.0954438
median1.3215172
Q31.5713218
95-th percentile1.9659342
Maximum5.8729167
Range5.6337059
Interquartile range (IQR)0.47587797

Descriptive statistics

Standard deviation0.35252992
Coefficient of variation (CV)0.26172548
Kurtosis0.46121598
Mean1.3469454
Median Absolute Deviation (MAD)0.23701081
Skewness0.44132526
Sum519247.44
Variance0.12427734
MonotonicityNot monotonic
2024-01-12T13:47:04.188348image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.521402698 1
 
< 0.1%
1.926582607 1
 
< 0.1%
1.965735042 1
 
< 0.1%
1.135196582 1
 
< 0.1%
0.7963664389 1
 
< 0.1%
2.022304385 1
 
< 0.1%
1.719411477 1
 
< 0.1%
1.409080246 1
 
< 0.1%
1.631795883 1
 
< 0.1%
1.713829296 1
 
< 0.1%
Other values (385490) 385490
> 99.9%
ValueCountFrequency (%)
0.2392108086 1
< 0.1%
0.2576928764 1
< 0.1%
0.2664986286 1
< 0.1%
0.2882851103 1
< 0.1%
0.3066478608 1
< 0.1%
0.3079473261 1
< 0.1%
0.3187839196 1
< 0.1%
0.3326520625 1
< 0.1%
0.3344084407 1
< 0.1%
0.336653573 1
< 0.1%
ValueCountFrequency (%)
5.872916677 1
< 0.1%
5.471192054 1
< 0.1%
5.176911472 1
< 0.1%
4.994711914 1
< 0.1%
4.871669749 1
< 0.1%
4.622526568 1
< 0.1%
4.561902548 1
< 0.1%
4.434401413 1
< 0.1%
4.119833939 1
< 0.1%
3.924644406 1
< 0.1%

rms[8]
Real number (ℝ)

Distinct385499
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3899213
Minimum0.31975378
Maximum6.3900127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:47:04.356367image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.31975378
5-th percentile0.85344078
Q11.1382047
median1.3658855
Q31.6146682
95-th percentile2.0077106
Maximum6.3900127
Range6.0702589
Interquartile range (IQR)0.47646351

Descriptive statistics

Standard deviation0.35381426
Coefficient of variation (CV)0.25455704
Kurtosis1.010047
Mean1.3899213
Median Absolute Deviation (MAD)0.23733319
Skewness0.480163
Sum535814.67
Variance0.12518453
MonotonicityNot monotonic
2024-01-12T13:47:04.503346image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.119011794 2
 
< 0.1%
1.21146003 1
 
< 0.1%
1.807747432 1
 
< 0.1%
0.9992545641 1
 
< 0.1%
0.7419618396 1
 
< 0.1%
1.822619848 1
 
< 0.1%
1.268003483 1
 
< 0.1%
1.44229044 1
 
< 0.1%
1.078745266 1
 
< 0.1%
1.642961865 1
 
< 0.1%
Other values (385489) 385489
> 99.9%
ValueCountFrequency (%)
0.3197537765 1
< 0.1%
0.3286593493 1
< 0.1%
0.3414303649 1
< 0.1%
0.351511004 1
< 0.1%
0.3594876254 1
< 0.1%
0.3667699883 1
< 0.1%
0.3689140215 1
< 0.1%
0.3755076518 1
< 0.1%
0.3826756073 1
< 0.1%
0.3860786257 1
< 0.1%
ValueCountFrequency (%)
6.390012663 1
< 0.1%
5.956379542 1
< 0.1%
5.751987931 1
< 0.1%
5.495655267 1
< 0.1%
5.467067265 1
< 0.1%
5.423331086 1
< 0.1%
5.356367083 1
< 0.1%
5.293474315 1
< 0.1%
5.289633895 1
< 0.1%
5.273031071 1
< 0.1%

rms[9]
Real number (ℝ)

Distinct385498
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.377497
Minimum0.29468131
Maximum5.9826448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:47:04.651349image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.29468131
5-th percentile0.84823478
Q11.1290181
median1.353291
Q31.5986989
95-th percentile1.9880717
Maximum5.9826448
Range5.6879635
Interquartile range (IQR)0.46968089

Descriptive statistics

Standard deviation0.34920756
Coefficient of variation (CV)0.25350876
Kurtosis1.1274859
Mean1.377497
Median Absolute Deviation (MAD)0.23386366
Skewness0.49420762
Sum531025.09
Variance0.12194592
MonotonicityNot monotonic
2024-01-12T13:47:04.809347image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.436342686 2
 
< 0.1%
0.9744653365 2
 
< 0.1%
0.9712543798 1
 
< 0.1%
1.251719514 1
 
< 0.1%
1.633278339 1
 
< 0.1%
1.509065732 1
 
< 0.1%
1.340873424 1
 
< 0.1%
1.02666082 1
 
< 0.1%
1.410268393 1
 
< 0.1%
1.070344912 1
 
< 0.1%
Other values (385488) 385488
> 99.9%
ValueCountFrequency (%)
0.2946813084 1
< 0.1%
0.3077491914 1
< 0.1%
0.3083188576 1
< 0.1%
0.3453334303 1
< 0.1%
0.3528708014 1
< 0.1%
0.3568653142 1
< 0.1%
0.3573347582 1
< 0.1%
0.3755118256 1
< 0.1%
0.3805453622 1
< 0.1%
0.3822928893 1
< 0.1%
ValueCountFrequency (%)
5.98264481 1
< 0.1%
5.898676796 1
< 0.1%
5.842367749 1
< 0.1%
5.635410718 1
< 0.1%
5.587724079 1
< 0.1%
5.51300246 1
< 0.1%
5.488479668 1
< 0.1%
5.331706397 1
< 0.1%
5.2760714 1
< 0.1%
5.115001233 1
< 0.1%

rms[10]
Real number (ℝ)

Distinct385499
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4088766
Minimum0.32446226
Maximum6.0062168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:47:04.988350image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.32446226
5-th percentile0.870531
Q11.1554529
median1.383982
Q31.6357786
95-th percentile2.0307397
Maximum6.0062168
Range5.6817545
Interquartile range (IQR)0.48032572

Descriptive statistics

Standard deviation0.35542836
Coefficient of variation (CV)0.25227786
Kurtosis0.78575958
Mean1.4088766
Median Absolute Deviation (MAD)0.23903158
Skewness0.46683317
Sum543121.92
Variance0.12632932
MonotonicityNot monotonic
2024-01-12T13:47:05.153345image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.403088952 2
 
< 0.1%
1.285425125 1
 
< 0.1%
1.088636365 1
 
< 0.1%
1.141527695 1
 
< 0.1%
1.417580161 1
 
< 0.1%
2.141293065 1
 
< 0.1%
1.567407049 1
 
< 0.1%
1.14740312 1
 
< 0.1%
1.783982091 1
 
< 0.1%
1.082471853 1
 
< 0.1%
Other values (385489) 385489
> 99.9%
ValueCountFrequency (%)
0.3244622558 1
< 0.1%
0.3490767694 1
< 0.1%
0.3564049712 1
< 0.1%
0.3603855233 1
< 0.1%
0.3681912796 1
< 0.1%
0.3787332456 1
< 0.1%
0.3806516496 1
< 0.1%
0.3840345706 1
< 0.1%
0.3847241408 1
< 0.1%
0.3848946673 1
< 0.1%
ValueCountFrequency (%)
6.006216764 1
< 0.1%
5.314943095 1
< 0.1%
5.18903791 1
< 0.1%
5.141877978 1
< 0.1%
5.060894642 1
< 0.1%
5.036771228 1
< 0.1%
4.945917024 1
< 0.1%
4.943960316 1
< 0.1%
4.942416725 1
< 0.1%
4.861858383 1
< 0.1%

rms[11]
Real number (ℝ)

UNIQUE 

Distinct385500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4153145
Minimum0.31274287
Maximum5.9888774
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:47:05.306363image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.31274287
5-th percentile0.87492307
Q11.1614107
median1.3913401
Q31.6430275
95-th percentile2.0370042
Maximum5.9888774
Range5.6761345
Interquartile range (IQR)0.48161687

Descriptive statistics

Standard deviation0.3565512
Coefficient of variation (CV)0.25192365
Kurtosis0.89421435
Mean1.4153145
Median Absolute Deviation (MAD)0.23972846
Skewness0.47083911
Sum545603.74
Variance0.12712875
MonotonicityNot monotonic
2024-01-12T13:47:05.460350image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9041567568 1
 
< 0.1%
1.58038554 1
 
< 0.1%
1.269294734 1
 
< 0.1%
1.153712572 1
 
< 0.1%
0.935886592 1
 
< 0.1%
1.230480761 1
 
< 0.1%
1.227548427 1
 
< 0.1%
0.9505139487 1
 
< 0.1%
1.555386265 1
 
< 0.1%
1.223129351 1
 
< 0.1%
Other values (385490) 385490
> 99.9%
ValueCountFrequency (%)
0.3127428691 1
< 0.1%
0.3185457968 1
< 0.1%
0.3300341591 1
< 0.1%
0.335154207 1
< 0.1%
0.3439381627 1
< 0.1%
0.3555530482 1
< 0.1%
0.3593076998 1
< 0.1%
0.3660599009 1
< 0.1%
0.3682568085 1
< 0.1%
0.3716994765 1
< 0.1%
ValueCountFrequency (%)
5.988877405 1
< 0.1%
5.721379868 1
< 0.1%
5.511302507 1
< 0.1%
5.485954148 1
< 0.1%
5.485235551 1
< 0.1%
5.398295036 1
< 0.1%
5.234579293 1
< 0.1%
5.225698497 1
< 0.1%
5.117566305 1
< 0.1%
5.098328992 1
< 0.1%

rms[12]
Real number (ℝ)

Distinct385499
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3645071
Minimum0.25688826
Maximum6.3797699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:47:05.675377image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.25688826
5-th percentile0.84511234
Q11.12067
median1.3411834
Q31.5827177
95-th percentile1.9628587
Maximum6.3797699
Range6.1228817
Interquartile range (IQR)0.4620477

Descriptive statistics

Standard deviation0.34291252
Coefficient of variation (CV)0.25130872
Kurtosis1.2643461
Mean1.3645071
Median Absolute Deviation (MAD)0.23019452
Skewness0.49555783
Sum526017.48
Variance0.117589
MonotonicityNot monotonic
2024-01-12T13:47:05.820377image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.100310882 2
 
< 0.1%
0.9397715555 1
 
< 0.1%
1.76320812 1
 
< 0.1%
1.626650067 1
 
< 0.1%
1.317945437 1
 
< 0.1%
1.620048181 1
 
< 0.1%
1.055116807 1
 
< 0.1%
1.224498185 1
 
< 0.1%
1.604119146 1
 
< 0.1%
1.795147713 1
 
< 0.1%
Other values (385489) 385489
> 99.9%
ValueCountFrequency (%)
0.2568882649 1
< 0.1%
0.2876628412 1
< 0.1%
0.3045050398 1
< 0.1%
0.3491451413 1
< 0.1%
0.3608544743 1
< 0.1%
0.3614027983 1
< 0.1%
0.3619883393 1
< 0.1%
0.3634507612 1
< 0.1%
0.3668470894 1
< 0.1%
0.3768677323 1
< 0.1%
ValueCountFrequency (%)
6.379769933 1
< 0.1%
6.157558877 1
< 0.1%
5.852237584 1
< 0.1%
5.74550077 1
< 0.1%
5.677679217 1
< 0.1%
5.674081001 1
< 0.1%
5.31664199 1
< 0.1%
5.303370077 1
< 0.1%
5.249317156 1
< 0.1%
5.217771002 1
< 0.1%

rms[13]
Real number (ℝ)

UNIQUE 

Distinct385500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4116071
Minimum0.32766421
Maximum6.283808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:47:06.015351image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.32766421
5-th percentile0.868752
Q11.1567125
median1.3865315
Q31.6400555
95-th percentile2.0383014
Maximum6.283808
Range5.9561438
Interquartile range (IQR)0.48334295

Descriptive statistics

Standard deviation0.35842312
Coefficient of variation (CV)0.25391138
Kurtosis0.8545296
Mean1.4116071
Median Absolute Deviation (MAD)0.24077128
Skewness0.47157058
Sum544174.55
Variance0.12846713
MonotonicityNot monotonic
2024-01-12T13:47:06.183346image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.184943091 1
 
< 0.1%
0.9165588068 1
 
< 0.1%
0.8233029842 1
 
< 0.1%
1.57173268 1
 
< 0.1%
1.181254343 1
 
< 0.1%
1.232111075 1
 
< 0.1%
2.098542586 1
 
< 0.1%
1.137175464 1
 
< 0.1%
1.305321252 1
 
< 0.1%
2.029882322 1
 
< 0.1%
Other values (385490) 385490
> 99.9%
ValueCountFrequency (%)
0.3276642062 1
< 0.1%
0.3363663184 1
< 0.1%
0.3493638045 1
< 0.1%
0.3631198407 1
< 0.1%
0.3638868167 1
< 0.1%
0.3721241383 1
< 0.1%
0.3736989799 1
< 0.1%
0.3761909149 1
< 0.1%
0.3795613424 1
< 0.1%
0.3826597675 1
< 0.1%
ValueCountFrequency (%)
6.283808014 1
< 0.1%
6.250925281 1
< 0.1%
5.872300283 1
< 0.1%
5.663247721 1
< 0.1%
5.250220932 1
< 0.1%
5.187480287 1
< 0.1%
5.180491321 1
< 0.1%
5.153746046 1
< 0.1%
4.983333525 1
< 0.1%
4.928396164 1
< 0.1%

rms[14]
Real number (ℝ)

UNIQUE 

Distinct385500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4390368
Minimum0.31834682
Maximum6.0071976
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:47:06.359350image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.31834682
5-th percentile0.88388694
Q11.1783951
median1.414197
Q31.6721007
95-th percentile2.079134
Maximum6.0071976
Range5.6888508
Interquartile range (IQR)0.49370554

Descriptive statistics

Standard deviation0.36632957
Coefficient of variation (CV)0.2545658
Kurtosis0.87055519
Mean1.4390368
Median Absolute Deviation (MAD)0.24591365
Skewness0.47335962
Sum554748.7
Variance0.13419736
MonotonicityNot monotonic
2024-01-12T13:47:06.500350image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.284969439 1
 
< 0.1%
1.230902535 1
 
< 0.1%
1.522471972 1
 
< 0.1%
1.381130331 1
 
< 0.1%
1.386270799 1
 
< 0.1%
1.265199911 1
 
< 0.1%
0.8702167409 1
 
< 0.1%
1.47254042 1
 
< 0.1%
1.142523912 1
 
< 0.1%
1.014263815 1
 
< 0.1%
Other values (385490) 385490
> 99.9%
ValueCountFrequency (%)
0.3183468164 1
< 0.1%
0.3330039439 1
< 0.1%
0.355014755 1
< 0.1%
0.3704289638 1
< 0.1%
0.3741251693 1
< 0.1%
0.3783954751 1
< 0.1%
0.3818678908 1
< 0.1%
0.3838113186 1
< 0.1%
0.3880136972 1
< 0.1%
0.3892228709 1
< 0.1%
ValueCountFrequency (%)
6.007197629 1
< 0.1%
5.825523156 1
< 0.1%
5.700786136 1
< 0.1%
5.610112763 1
< 0.1%
5.496783926 1
< 0.1%
5.43575725 1
< 0.1%
5.352587841 1
< 0.1%
5.275653263 1
< 0.1%
5.241718494 1
< 0.1%
5.237236021 1
< 0.1%

rms[15]
Real number (ℝ)

Distinct385498
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3709487
Minimum0.30208907
Maximum5.8599937
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:47:06.667363image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.30208907
5-th percentile0.84111954
Q11.1207973
median1.3465014
Q31.594086
95-th percentile1.9821122
Maximum5.8599937
Range5.5579046
Interquartile range (IQR)0.47328874

Descriptive statistics

Standard deviation0.3500028
Coefficient of variation (CV)0.25529971
Kurtosis0.82250134
Mean1.3709487
Median Absolute Deviation (MAD)0.2355753
Skewness0.47333171
Sum528500.71
Variance0.12250196
MonotonicityNot monotonic
2024-01-12T13:47:06.846376image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.242046382 2
 
< 0.1%
1.191677663 2
 
< 0.1%
1.196239299 1
 
< 0.1%
0.7439635206 1
 
< 0.1%
1.90828681 1
 
< 0.1%
1.365511341 1
 
< 0.1%
1.050074564 1
 
< 0.1%
1.731239889 1
 
< 0.1%
0.7065383408 1
 
< 0.1%
1.616126483 1
 
< 0.1%
Other values (385488) 385488
> 99.9%
ValueCountFrequency (%)
0.3020890705 1
< 0.1%
0.3148523961 1
< 0.1%
0.3361385273 1
< 0.1%
0.3367061756 1
< 0.1%
0.3533741918 1
< 0.1%
0.3600633975 1
< 0.1%
0.3621534157 1
< 0.1%
0.3631858823 1
< 0.1%
0.3641677213 1
< 0.1%
0.3647453606 1
< 0.1%
ValueCountFrequency (%)
5.859993683 1
< 0.1%
5.545622971 1
< 0.1%
5.186209157 1
< 0.1%
4.97968919 1
< 0.1%
4.86169339 1
< 0.1%
4.823969639 1
< 0.1%
4.793571506 1
< 0.1%
4.762501937 1
< 0.1%
4.711382224 1
< 0.1%
4.650267109 1
< 0.1%

rms[16]
Real number (ℝ)

Distinct385489
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4529441
Minimum0.12942838
Maximum5.0314004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:47:07.212348image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.12942838
5-th percentile0.27095909
Q10.34226445
median0.40011698
Q30.46607662
95-th percentile0.69628913
Maximum5.0314004
Range4.901972
Interquartile range (IQR)0.12381217

Descriptive statistics

Standard deviation0.2994557
Coefficient of variation (CV)0.66113169
Kurtosis32.918234
Mean0.4529441
Median Absolute Deviation (MAD)0.061413225
Skewness5.4963332
Sum174609.95
Variance0.089673715
MonotonicityNot monotonic
2024-01-12T13:47:07.362350image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3051786403 2
 
< 0.1%
0.3786858809 2
 
< 0.1%
0.2843529094 2
 
< 0.1%
0.5153420294 2
 
< 0.1%
0.345262557 2
 
< 0.1%
0.2605740396 2
 
< 0.1%
0.4366978414 2
 
< 0.1%
0.401109893 2
 
< 0.1%
0.3845009414 2
 
< 0.1%
0.3346910959 2
 
< 0.1%
Other values (385479) 385480
> 99.9%
ValueCountFrequency (%)
0.1294283816 1
< 0.1%
0.1331204618 1
< 0.1%
0.1344973125 1
< 0.1%
0.1383770395 1
< 0.1%
0.1388298994 1
< 0.1%
0.1390108685 1
< 0.1%
0.1409012551 1
< 0.1%
0.1411255293 1
< 0.1%
0.1417977197 1
< 0.1%
0.1422895117 1
< 0.1%
ValueCountFrequency (%)
5.031400393 1
< 0.1%
4.97772658 1
< 0.1%
4.944033305 1
< 0.1%
4.909914694 1
< 0.1%
4.897668208 1
< 0.1%
4.873119751 1
< 0.1%
4.844882782 1
< 0.1%
4.808647654 1
< 0.1%
4.732454861 1
< 0.1%
3.983907385 1
< 0.1%

rms[17]
Real number (ℝ)

Distinct385484
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.37102667
Minimum0.1021384
Maximum4.9251805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:47:07.509376image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.1021384
5-th percentile0.26205537
Q10.32175268
median0.36698056
Q30.41557782
95-th percentile0.49186455
Maximum4.9251805
Range4.8230421
Interquartile range (IQR)0.093825142

Descriptive statistics

Standard deviation0.081982991
Coefficient of variation (CV)0.22096253
Kurtosis629.44188
Mean0.37102667
Median Absolute Deviation (MAD)0.046850542
Skewness13.153182
Sum143030.78
Variance0.0067212109
MonotonicityNot monotonic
2024-01-12T13:47:07.660360image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3892622347 2
 
< 0.1%
0.3863713238 2
 
< 0.1%
0.3469393032 2
 
< 0.1%
0.3924283997 2
 
< 0.1%
0.442889431 2
 
< 0.1%
0.3185343179 2
 
< 0.1%
0.3661969869 2
 
< 0.1%
0.4205411915 2
 
< 0.1%
0.3445080796 2
 
< 0.1%
0.4376040867 2
 
< 0.1%
Other values (385474) 385480
> 99.9%
ValueCountFrequency (%)
0.1021384 1
< 0.1%
0.1248619136 1
< 0.1%
0.1259771256 1
< 0.1%
0.1263971029 1
< 0.1%
0.1288975659 1
< 0.1%
0.1327008374 1
< 0.1%
0.1337754702 1
< 0.1%
0.1396550585 1
< 0.1%
0.1426849883 1
< 0.1%
0.1433361498 1
< 0.1%
ValueCountFrequency (%)
4.925180515 1
< 0.1%
4.923773916 1
< 0.1%
4.887145232 1
< 0.1%
4.867605103 1
< 0.1%
4.817244821 1
< 0.1%
4.796826322 1
< 0.1%
4.771140747 1
< 0.1%
4.762582414 1
< 0.1%
4.750573637 1
< 0.1%
4.748951977 1
< 0.1%

x
Real number (ℝ)

Distinct81
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean397.72374
Minimum200
Maximum600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:47:07.828370image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile215
Q1285
median400
Q3500
95-th percentile585
Maximum600
Range400
Interquartile range (IQR)215

Descriptive statistics

Standard deviation120.5931
Coefficient of variation (CV)0.30320822
Kurtosis-1.197003
Mean397.72374
Median Absolute Deviation (MAD)110
Skewness0.034705739
Sum1.533225 × 108
Variance14542.697
MonotonicityIncreasing
2024-01-12T13:47:07.984376image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
235 6600
 
1.7%
580 6300
 
1.6%
565 6300
 
1.6%
410 6100
 
1.6%
405 6100
 
1.6%
200 5900
 
1.5%
590 5900
 
1.5%
225 5900
 
1.5%
355 5800
 
1.5%
585 5800
 
1.5%
Other values (71) 324800
84.3%
ValueCountFrequency (%)
200 5900
1.5%
205 5300
1.4%
210 5600
1.5%
215 5600
1.5%
220 4800
1.2%
225 5900
1.5%
230 5600
1.5%
235 6600
1.7%
240 5800
1.5%
245 5800
1.5%
ValueCountFrequency (%)
600 5300
1.4%
595 5500
1.4%
590 5900
1.5%
585 5800
1.5%
580 6300
1.6%
575 5100
1.3%
570 5500
1.4%
565 6300
1.6%
560 5500
1.4%
555 5800
1.5%

y
Real number (ℝ)

Distinct81
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean404.10636
Minimum200
Maximum600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:47:08.182380image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile225
Q1310
median405
Q3500
95-th percentile580
Maximum600
Range400
Interquartile range (IQR)190

Descriptive statistics

Standard deviation113.65223
Coefficient of variation (CV)0.28124336
Kurtosis-1.1513592
Mean404.10636
Median Absolute Deviation (MAD)95
Skewness-0.027233727
Sum1.55783 × 108
Variance12916.829
MonotonicityNot monotonic
2024-01-12T13:47:08.330345image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
390 6100
 
1.6%
485 5900
 
1.5%
495 5900
 
1.5%
540 5700
 
1.5%
400 5600
 
1.5%
395 5600
 
1.5%
380 5500
 
1.4%
375 5500
 
1.4%
525 5400
 
1.4%
520 5400
 
1.4%
Other values (71) 328900
85.3%
ValueCountFrequency (%)
200 3800
1.0%
205 3400
0.9%
210 3900
1.0%
215 3400
0.9%
220 3900
1.0%
225 4100
1.1%
230 4600
1.2%
235 4800
1.2%
240 4200
1.1%
245 4000
1.0%
ValueCountFrequency (%)
600 4700
1.2%
595 5300
1.4%
590 4700
1.2%
585 4400
1.1%
580 4700
1.2%
575 4500
1.2%
570 4000
1.0%
565 4300
1.1%
560 3900
1.0%
555 4000
1.0%

Interactions

2024-01-12T13:46:55.014343image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:41.291015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:45.085015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:49.335016image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:53.730987image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:57.479988image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:01.648985image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:05.635015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:09.552985image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:13.224982image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:17.041014image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:21.296016image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:24.836014image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:28.404016image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:32.458986image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:36.368014image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:39.723374image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:43.288375image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:46.766343image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:50.747349image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:55.240345image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:41.477016image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:45.272015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:49.499015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:53.941990image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:57.694990image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:01.827015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:05.810992image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:09.744986image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:13.437015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:17.240985image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:21.491016image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:25.029014image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:28.611988image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:32.673999image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:36.541018image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:39.893376image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:43.446350image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:46.955344image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:50.975377image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:55.417352image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:41.655025image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:45.458018image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:49.663017image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:54.165985image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:58.009991image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:02.017014image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:05.980983image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:09.938015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:13.626986image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:17.474983image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:21.676990image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:25.205015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:28.794988image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:32.892983image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:36.718015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:40.067375image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:43.604376image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:47.142344image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:51.220345image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:55.598345image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:41.819014image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:45.637985image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:49.866027image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:54.357017image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:58.298988image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:02.195015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:06.202983image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:10.123989image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:13.806027image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:17.681987image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:21.864020image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:25.373016image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:28.981015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:33.109985image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:36.896983image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:40.226374image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:43.755348image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:47.360346image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:51.440349image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:55.790375image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:42.005988image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:45.818988image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:50.089988image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:54.608994image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:58.546987image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:02.360983image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:06.362015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:10.292014image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:14.001985image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:17.919988image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:22.068996image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:25.536014image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:29.185983image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:33.314983image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:37.070015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:40.385347image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:43.910375image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:47.545345image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:51.647349image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:55.992348image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:42.185008image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:46.070985image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:50.307016image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:54.848983image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:58.772985image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:02.542014image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:06.527014image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:10.453027image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:14.205988image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:18.147983image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:22.241014image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:25.714018image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:29.365022image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:33.504989image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:37.229988image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:40.550375image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:44.091375image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:47.754377image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:51.875358image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:56.167382image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:42.353015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:46.243016image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:50.503027image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:55.040986image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:58.974990image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:02.710985image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:06.692033image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:10.627985image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:14.397029image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:18.368985image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:22.402983image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:25.879987image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:29.542014image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:33.673015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:37.405015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:40.735343image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:44.278378image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:48.017345image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:52.087348image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:56.328348image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:42.542015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:46.415985image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:50.694991image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:55.221020image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:59.171017image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:02.874015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:06.852015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:10.799014image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
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2024-01-12T13:46:24.291014image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:27.807026image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:31.693015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:35.743015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:39.213375image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:42.740375image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:46.211375image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:50.138345image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:54.234347image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:58.323375image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:44.628984image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:48.634015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:53.153989image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:57.064015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:01.222986image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:05.090986image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:09.189015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:12.839004image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:16.635988image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:20.877027image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:24.464986image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:27.999001image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:31.929998image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:35.937989image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:39.370343image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:42.899375image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:46.369377image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:50.330348image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:54.440350image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:58.506376image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:44.852026image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:48.848012image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:53.497984image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:45:57.241983image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:01.452988image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:05.457015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:09.372985image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:13.043985image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:16.828015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:21.091985image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:24.656015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:28.212015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:32.194989image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:36.171016image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:39.545375image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:43.106375image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:46.540345image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:50.543347image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:46:54.734349image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Correlations

2024-01-12T13:47:08.517345image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
rms[0]rms[10]rms[11]rms[12]rms[13]rms[14]rms[15]rms[16]rms[17]rms[1]rms[2]rms[3]rms[4]rms[5]rms[6]rms[7]rms[8]rms[9]xy
rms[0]1.0000.0010.0020.0010.0030.001-0.0010.0270.0040.0080.0030.0040.0060.0080.0070.0020.0020.001-0.0030.002
rms[10]0.0011.000-0.0010.0010.0030.0030.0030.0020.0090.0030.0030.0030.001-0.0010.0010.0010.0020.002-0.0020.001
rms[11]0.002-0.0011.0000.0010.006-0.0010.0040.0040.0070.0040.004-0.001-0.0010.002-0.000-0.0000.0020.002-0.001-0.002
rms[12]0.0010.0010.0011.0000.0050.0030.0050.0040.0040.0010.0000.0010.0020.0010.0020.0000.002-0.000-0.001-0.002
rms[13]0.0030.0030.0060.0051.0000.0020.0030.0050.006-0.0010.0010.001-0.0010.0010.0020.0010.0010.004-0.0010.001
rms[14]0.0010.003-0.0010.0030.0021.0000.0050.0020.003-0.0020.003-0.0000.002-0.0010.0020.0030.0020.003-0.003-0.001
rms[15]-0.0010.0030.0040.0050.0030.0051.0000.0020.004-0.0010.0020.0010.0020.0010.0010.0030.0020.006-0.0000.003
rms[16]0.0270.0020.0040.0040.0050.0020.0021.0000.0310.0250.0310.0290.0230.0260.0280.0240.0040.007-0.0110.000
rms[17]0.0040.0090.0070.0040.0060.0030.0040.0311.0000.0040.0030.0030.0060.0030.003-0.0000.0080.001-0.003-0.000
rms[1]0.0080.0030.0040.001-0.001-0.002-0.0010.0250.0041.0000.0060.0060.0050.0040.0080.0060.0020.000-0.003-0.001
rms[2]0.0030.0030.0040.0000.0010.0030.0020.0310.0030.0061.0000.0050.0070.0040.0080.0050.004-0.001-0.0000.000
rms[3]0.0040.003-0.0010.0010.001-0.0000.0010.0290.0030.0060.0051.0000.0070.0060.0070.0050.0010.0010.001-0.001
rms[4]0.0060.001-0.0010.002-0.0010.0020.0020.0230.0060.0050.0070.0071.0000.0080.0060.0040.0020.002-0.0010.001
rms[5]0.008-0.0010.0020.0010.001-0.0010.0010.0260.0030.0040.0040.0060.0081.0000.0050.0050.0020.005-0.0010.002
rms[6]0.0070.001-0.0000.0020.0020.0020.0010.0280.0030.0080.0080.0070.0060.0051.0000.006-0.0020.0040.001-0.001
rms[7]0.0020.001-0.0000.0000.0010.0030.0030.024-0.0000.0060.0050.0050.0040.0050.0061.0000.001-0.000-0.000-0.003
rms[8]0.0020.0020.0020.0020.0010.0020.0020.0040.0080.0020.0040.0010.0020.002-0.0020.0011.0000.0030.0000.001
rms[9]0.0010.0020.002-0.0000.0040.0030.0060.0070.0010.000-0.0010.0010.0020.0050.004-0.0000.0031.000-0.0010.001
x-0.003-0.002-0.001-0.001-0.001-0.003-0.000-0.011-0.003-0.003-0.0000.001-0.001-0.0010.001-0.0000.000-0.0011.0000.003
y0.0020.001-0.002-0.0020.001-0.0010.0030.000-0.000-0.0010.000-0.0010.0010.002-0.001-0.0030.0010.0010.0031.000

Missing values

2024-01-12T13:46:58.749345image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-12T13:46:59.440347image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

rms[0]rms[1]rms[2]rms[3]rms[4]rms[5]rms[6]rms[7]rms[8]rms[9]rms[10]rms[11]rms[12]rms[13]rms[14]rms[15]rms[16]rms[17]xy
02.0070421.5639021.4568651.5312280.9380421.4128771.2423611.5214031.2114600.9712541.2854250.9041570.9397721.1849431.2849691.1962390.3744980.405595200.0200.0
11.5645351.2280581.7090021.1724971.1097681.4890111.6848111.3565351.2488691.6466061.2364101.2010391.4836501.5780091.0939531.5344330.4032580.405890200.0200.0
21.4046221.0154081.3733361.5086281.1214831.5479361.5299811.6361741.7127001.5094991.9738031.9953942.0049481.3330361.1839511.0101750.5687770.498019200.0200.0
31.5121621.3506201.1150781.3741081.8490990.8095501.6331621.7378320.8251311.9456441.2245261.4916101.0194751.9450651.7389981.2830150.2554830.336454200.0200.0
41.1011130.7595151.2372681.4175051.4748961.8145201.7941090.8012731.6274931.4717711.6044951.3188731.3840481.5139881.3236211.4804490.4138550.293824200.0200.0
51.3067231.4490231.4934971.6964551.2967501.1242391.0744832.5569411.3078171.1458772.2186390.8714461.2221211.3514401.2585811.1599370.3297630.363354200.0200.0
61.0778951.6825531.1265901.6926081.8845450.8217871.8235660.9593672.1004371.2090631.3141200.7143990.8279451.3686661.4810891.2913922.3114430.303670200.0200.0
71.7092932.0709350.9567071.8182420.8329321.2054911.2664391.1055021.9679211.5301441.6784801.4906221.0067141.4520401.3254470.5128460.3730130.343092200.0200.0
81.0377120.7296151.3522661.1431941.2081222.1870770.8648681.5115911.3499821.5521211.4746961.7982561.0113891.0296531.9231741.1493430.3935530.306571200.0200.0
91.3328941.3521371.6603391.9457522.0492882.0619631.3210571.0454620.6961523.2500661.5544851.2297581.3333682.2564581.5391220.6863360.5429730.409013200.0200.0
rms[0]rms[1]rms[2]rms[3]rms[4]rms[5]rms[6]rms[7]rms[8]rms[9]rms[10]rms[11]rms[12]rms[13]rms[14]rms[15]rms[16]rms[17]xy
3854900.9717111.2282151.5023651.5509451.3800591.1188461.0070251.8942271.6222721.3669571.5447511.8236970.9990381.1400931.2590651.2819610.9347340.245449600.0595.0
3854911.5429451.4946341.0729521.3449091.1626981.0492661.2400751.8877300.7123011.3938221.4503921.0250281.0498421.5658750.9082781.0413950.3469570.335133600.0595.0
3854921.2824571.2617150.9403490.9902651.3657640.9932311.0921021.1546081.2186551.5271261.1254101.2364431.5005001.4527161.0714320.8777190.4345870.286119600.0595.0
3854931.3977491.5898571.0815112.1528771.3398841.4114481.3567761.0078131.5557141.8351211.3605941.2275300.9918620.9361441.0860461.3082730.3727880.465998600.0595.0
3854941.3837651.3061191.3919882.0365642.0519951.1258911.4743160.9463131.2294271.3967001.6355951.1495231.7511481.4015221.6752101.1340810.3864330.385382600.0595.0
3854951.1035501.0214500.7825121.8297851.4988691.2963571.5565232.2486840.8762770.9062761.4679891.0619590.7670790.9644901.6813961.9322670.7142500.345872600.0595.0
3854961.8953931.5709391.3901391.3164581.4900021.5630361.1123931.5112341.9418151.6756711.8564071.3309861.7174991.6324971.2277551.3057900.3259780.318873600.0595.0
3854971.2485411.2558321.0564641.8740571.1866081.1257811.0298411.6191861.6121871.2679671.6551362.0441861.2662361.9446261.2737242.0868880.4308330.301635600.0595.0
3854981.2157131.4654431.1987122.1399971.6360941.5763562.0502721.0428401.7940871.1817661.6471292.0528660.9859351.2861501.0536350.9325970.4743010.408242600.0595.0
3854991.7808371.2076221.2647681.1461920.9804591.5423161.7894871.3946161.2074661.0629971.7616341.2245732.0393440.7344421.5899781.5937810.5095080.354110600.0595.0